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Uncertainty Quantification of Soil-Structure Interaction in Tunnel Linings by Polynomial Chaos Expansion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F24%3APU154894" target="_blank" >RIV/00216305:26110/24:PU154894 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/book/10.1007/978-3-031-60271-9" target="_blank" >https://link.springer.com/book/10.1007/978-3-031-60271-9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-60271-9_48" target="_blank" >10.1007/978-3-031-60271-9_48</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Uncertainty Quantification of Soil-Structure Interaction in Tunnel Linings by Polynomial Chaos Expansion

  • Original language description

    The paper is focused on uncertainty quantification of soil-structure interaction in tunnel linings using a surrogate model in form of Polynomial Chaos Expansion (PCE). Tunnel design is a complex and complicated task since it is strongly associated with a great number of load and material uncertainties. Moreover, modelling the soil-structure interaction multiplies the complexity and non-linearity of a tunnel engineering problems. In order to handle such uncertainties, finite element method with random input variables has proven to be a very accurate tool. The probabilistic analysis is typically performed by Monte Carlo simulation (MC), simulating uncertainties according to their complete probability distributions and statistical correlations. The computational burden of MC represents the main obstacle to its use in complex numerical models and it is therefore not practical for industrial applications. The solution can be an efficient approximation of the original mathematical model by computationally efficient analytical function – a surrogate model. In this study, the surrogate model in form of PCE is utilized, allowing for analytical post-processing (statistical and sensitivity analysis). Uncertainty quantification is focused on estimation of spatial variability of internal forces caused by the soil-structure interaction.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    20th International Probabilistic Workshop

  • ISBN

    9783031602702

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    512-519

  • Publisher name

    Springer Science and Business Media Deutschland GmbH

  • Place of publication

    neuveden

  • Event location

    Guimarães

  • Event date

    May 8, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article